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City-Scale Map Creation and Updating using GPS Collections

Published: 13 August 2016 Publication History

Abstract

Applications such as autonomous driving or real-time route recommendations require up-to-date and accurate digital maps. However, manually creating and updating such maps is too costly to meet the rising demands. As large collections of GPS trajectories become widely available, constructing and updating maps using such trajectory collections can greatly reduce the cost of such maps. Unfortunately, due to GPS noise and varying trajectory sampling rates, inferring maps from GPS trajectories can be very challenging. In this paper, we present a framework to create up-to-date maps with rich knowledge from GPS trajectory collections. Starting from an unstructured GPS point cloud, we discover road segments using novel graph-based clustering techniques with prior knowledge on road design. Based on road segments, we develop a scale- and orientation-invariant traj-SIFT feature to localize and recognize junctions using a supervised learning framework. Maps with rich knowledge are created based on discovered road segments and junctions. Compared to state-of-the-art methods, our approach can efficiently construct high-quality maps at city scales from large collections of GPS trajectories.

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cover image ACM Conferences
KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
August 2016
2176 pages
ISBN:9781450342322
DOI:10.1145/2939672
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 August 2016

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Author Tags

  1. gps trajectories
  2. map construction
  3. traj-sift feature

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  • Research-article

Funding Sources

  • Max Plank Center for Visual Computing and Communication
  • European Union Horizon 2020 Programme
  • NSF
  • INSIGHT FP7-318225 EU
  • Google Research Award

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KDD '16 Paper Acceptance Rate 66 of 1,115 submissions, 6%;
Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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Cited By

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  • (2024)Restoring Super-High Resolution GPS Mobility DataProceedings of the 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies10.1145/3681768.3698501(19-24)Online publication date: 29-Oct-2024
  • (2024)Graph Sampling for Map ComparisonACM Transactions on Spatial Algorithms and Systems10.1145/366273310:3(1-24)Online publication date: 3-May-2024
  • (2024)SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery BehaviorProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595968:2(1-26)Online publication date: 15-May-2024
  • (2024)Mobility Data Science: Perspectives and ChallengesACM Transactions on Spatial Algorithms and Systems10.1145/365215810:2(1-35)Online publication date: 1-Jul-2024
  • (2024)Graph Sampling for Map ComparisonSpatial Gems, Volume 210.1145/3617291.3617293(1-16)Online publication date: 25-Jan-2024
  • (2024)Lightweight Cross-Modal Information Measure and Propagation for Road Extraction From Remote Sensing Image and Trajectory/LiDARIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2024.338566762(1-16)Online publication date: 2024
  • (2024)DelvMap: Completing Residential Roads in Maps Based on Couriers’ Trajectories and Satellite ImageryIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2024.336583362(1-14)Online publication date: 2024
  • (2024)EnvClus*: Extracting Common Pathways for Effective Vessel Trajectory ForecastingIEEE Access10.1109/ACCESS.2023.334908112(3860-3873)Online publication date: 2024
  • (2024)Generation of intra-community roads based on human-flow modeling (HFM)International Journal of Geographical Information Science10.1080/13658816.2024.234305438:7(1256-1290)Online publication date: 25-Apr-2024
  • (2024)MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of VehiclesAdvances in Knowledge Discovery and Data Mining10.1007/978-981-97-2262-4_25(309-321)Online publication date: 25-Apr-2024
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